Youssef Allouah

I am a postdoctoral researcher at Stanford University. I previously earned my PhD at EPFL after graduating from Ecole Polytechnique. I also interned at Amazon.

My research develops foundations and methods for making machine learning systems trustworthy when data are private, participants are unreliable, or some data must later be forgotten. I study privacy, robustness, and machine unlearning, including in distributed learning systems.

Youssef Allouah

Recent Publications

See the publications page for the complete list.

The Distillation Game: Adaptive Attacks & Efficient Defenses [paper][code]
Y. Allouah*, M. Haghifam*, S. Koyejo, R. Shokri. (*equal contribution)
FoGen@ICML 2026.
What to Forget in Unlearning? Forget Set Curation for Language Models
A. Jha, A. Khatua, Y. Allouah, S. Koyejo.
FoGen@ICML 2026.
Distributional Machine Unlearning via Selective Data Removal [paper][code]
Y. Allouah, R. Guerraoui, S. Koyejo.
ICLR 2026; Oral at MUGen@ICML 2025.
Certified Unlearning for Neural Networks [paper][code]
A. Koloskova*, Y. Allouah*, A. Jha, R. Guerraoui, S. Koyejo. (*equal contribution)
ICML 2025.